Panagiotis Patrinos

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 131

Top Venues

CoRR

CDC

ECC

IEEE Trans. Autom. Control.

Publications

Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son
Learning Based NMPC Adaptation for Autonomous Driving using Parallelized Digital Twin. CoRR (2024)
Jia Wang, Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
A Trust-Region Method for Data-Driven Iterative Learning Control of Nonlinear Systems. IEEE Control. Syst. Lett. 8 (2024)
Puya Latafat, Andreas Themelis, Panagiotis Patrinos
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. L4DC (2024)
Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method. CoRR (2024)
Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens
Deep Kernel Principal Component Analysis for multi-level feature learning. Neural Networks 170 (2024)
Peter Coppens, Panagiotis Patrinos
Provably Stable Learning Control of Linear Dynamics With Multiplicative Noise. IEEE Trans. Autom. Control. 69 (8) (2024)
Kristoffer Fink Løwenstein, Daniele Bernardini, Panagiotis Patrinos
QPALM-OCP: A Newton-Type Proximal Augmented Lagrangian Solver Tailored for Quadratic Programs Arising in Model Predictive Control. IEEE Control. Syst. Lett. 8 (2024)
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Tensor-based multi-view spectral clustering via shared latent space. Inf. Fusion 108 (2024)
Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos
SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization. Comput. Optim. Appl. 88 (1) (2024)
Renzi Wang, Alexander Bodard, Mathijs Schuurmans, Panagiotis Patrinos
EM++: A parameter learning framework for stochastic switching systems. CoRR (2024)
Jean Pierre Allamaa, Panagiotis Patrinos, Toshiyuki Ohtsuka, Tong Duy Son
Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation. CoRR (2024)
Susan Ghaderi, Masoud Ahookhosh, Adam Arany, Alexander Skupin, Panagiotis Patrinos, Yves Moreau
Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions. Appl. Math. Comput. 464 (2024)
Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos
Adaptive proximal gradient methods are universal without approximation. CoRR (2024)
Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification. AAAI (2024)
Robin Bruneel, Mathijs Schuurmans, Panagiotis Patrinos
Intraday Power Trading for Imbalance Markets: An Adaptive Risk-Averse Strategy using Mixture Models. CoRR (2024)
Renzi Wang, Mathijs Schuurmans, Panagiotis Patrinos
Interaction-aware Model Predictive Control for Autonomous Driving. ECC (2023)
Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Semi-Supervised Classification with Graph Convolutional Kernel Machines. CoRR (2023)
Alexander Bodard, Pieter Pas, Panagiotis Patrinos
PANTR: A Proximal Algorithm With Trust-Region Updates for Nonconvex Constrained Optimization. IEEE Control. Syst. Lett. 7 (2023)
Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands. CoRR (2023)
Peter Coppens, Panagiotis Patrinos
Ordered Risk Minimization: Learning More from Less Data. CDC (2023)
Pourya Behmandpoor, Marc Moonen, Panagiotis Patrinos
Zeroth-order Asynchronous Learning with Bounded Delays with a Use-case in Resource Allocation in Communication Networks. CoRR (2023)
Mathijs Schuurmans, Alexander Katriniok, Christopher Ryan Meissen, H. Eric Tseng, Panagiotis Patrinos
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach. Artif. Intell. 320 (2023)
Mathijs Schuurmans, Panagiotis Patrinos
Distributionally Robust Optimization Using Cost-Aware Ambiguity Sets. IEEE Control. Syst. Lett. 7 (2023)
Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen
Model-Free Decentralized Training for Deep Learning Based Resource Allocation in Communication Networks. EUSIPCO (2023)
Jia Wang, Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
Fast data-driven iterative learning control for linear system with output disturbance. CoRR (2023)
Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
Solving stochastic weak Minty variational inequalities without increasing batch size. CoRR (2023)
Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. ICML (2023)
Mathijs Schuurmans, Panagiotis Patrinos
A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems. IEEE Trans. Autom. Control. 68 (5) (2023)
Lahcen El Bourkhissi, Ion Necoara, Panagiotis Patrinos
Linearized ADMM for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints. CDC (2023)
Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
Solving stochastic weak Minty variational inequalities without increasing batch size. ICLR (2023)
Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems. ECC (2023)
Brecht Evens, Puya Latafat, Panagiotis Patrinos
Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity. CoRR (2023)
Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems. CoRR (2023)
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method. CoRR (2023)
Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. CoRR (2023)
Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. CoRR (2023)
Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son
Safety Envelope for Orthogonal Collocation Methods in Embedded Optimal Control. ECC (2023)
Puya Latafat, Andreas Themelis, Panagiotis Patrinos
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. CoRR (2023)
Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers. CoRR (2023)
Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens
Deep Kernel Principal Component Analysis for Multi-level Feature Learning. CoRR (2023)
Puya Latafat, Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. CoRR (2023)
Emanuel Laude, Andreas Themelis, Panagiotis Patrinos
Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy. SIAM J. Optim. 33 (4) (2023)
Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen
Learning-Based Resource Allocation with Dynamic Data Rate Constraints. ICASSP (2022)
Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son
Safety Envelope for Orthogonal Collocation Methods in Embedded Optimal Control. CoRR (2022)
Puya Latafat, Panagiotis Patrinos
Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays. Optim. Methods Softw. 37 (6) (2022)
Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos
Block Bregman Majorization Minimization with Extrapolation. SIAM J. Math. Data Sci. 4 (1) (2022)
Ben Hermans, Andreas Themelis, Panagiotis Patrinos
QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs. Math. Program. Comput. 14 (3) (2022)
Renzi Wang, Mathijs Schuurmans, Panagiotis Patrinos
Interaction-aware Model Predictive Control for Autonomous Driving. CoRR (2022)
Peter Coppens, Panagiotis Patrinos
Safe learning LQR of linear dynamics with multiplicative noise. CoRR (2022)
Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son
Sim2real for Autonomous Vehicle Control using Executable Digital Twin. CoRR (2022)
Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms. Comput. Optim. Appl. 82 (2) (2022)
Puya Latafat, Andreas Themelis, Panagiotis Patrinos
Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems. Math. Program. 193 (1) (2022)
Peter Coppens, Panagiotis Patrinos
Data-Driven Distributionally Robust MPC for Constrained Stochastic Systems. IEEE Control. Syst. Lett. 6 (2022)
Brecht Evens, Mathijs Schuurmans, Panagiotis Patrinos
Learning MPC for Interaction-Aware Autonomous Driving: A Game-Theoretic Approach. ECC (2022)
Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen
Federated Learning Based Resource Allocation for Wireless Communication Networks. EUSIPCO (2022)
Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos
SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for Nonconvex Finite Sum Minimization. CoRR (2022)
Pieter Pas, Andreas Themelis, Panagiotis Patrinos
Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control. CoRR (2022)
Puya Latafat, Andreas Themelis, Masoud Ahookhosh, Panagiotis Patrinos
Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity. SIAM J. Optim. 32 (3) (2022)
Mathijs Schuurmans, Alexander Katriniok, Christopher Ryan Meissen, H. Eric Tseng, Panagiotis Patrinos
Safe, Learning-Based MPC for Highway Driving under Lane-Change Uncertainty: A Distributionally Robust Approach. CoRR (2022)
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Tensor-based Multi-view Spectral Clustering via Shared Latent Space. CoRR (2022)
Pieter Pas, Mathijs Schuurmans, Panagiotis Patrinos
Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization. ECC (2022)
Peter Coppens, Panagiotis Patrinos
Data-driven distributionally robust MPC for constrained stochastic systems. CoRR (2021)
Masoud Ahookhosh, Andreas Themelis, Panagiotis Patrinos
A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima. SIAM J. Optim. 31 (1) (2021)
Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints. Neural Networks 142 (2021)
Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. CoRR (2021)
Brecht Evens, Puya Latafat, Andreas Themelis, Johan A. K. Suykens, Panagiotis Patrinos
Neural Network Training as an Optimal Control Problem : - An Augmented Lagrangian Approach -. CDC (2021)
Mathijs Schuurmans, Panagiotis Patrinos
A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems. CoRR (2021)
Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. IJCNN (2021)
Mathijs Schuurmans, Panagiotis Patrinos
Data-driven distributionally robust control of partially observable jump linear systems. CoRR (2021)
Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos
Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization. Comput. Optim. Appl. 79 (3) (2021)
Miguel Simões, Andreas Themelis, Panagiotis Patrinos
Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. EUSIPCO (2021)
Miguel Simões, Andreas Themelis, Panagiotis Patrinos
Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. CoRR (2021)
Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos
A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization. J. Optim. Theory Appl. 190 (1) (2021)
Ben Hermans, Goele Pipeleers, Panagiotis Patrinos
A penalty method for nonlinear programs with set exclusion constraints. Autom. 127 (2021)
Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos
Block Alternating Bregman Majorization Minimization with Extrapolation. CoRR (2021)
Mathijs Schuurmans, Panagiotis Patrinos
Data-driven distributionally robust control of partially observable jump linear systems. CDC (2021)
Pieter Pas, Mathijs Schuurmans, Panagiotis Patrinos
Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization. CoRR (2021)
Hien Le, Nicolas Gillis, Panagiotis Patrinos
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization. ICML (2020)
Masoud Ahookhosh, Nicolas Gillis, Panagiotis Patrinos
A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems. CoRR (2020)
Andreas Themelis, Panagiotis Patrinos
Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results. SIAM J. Optim. 30 (1) (2020)
Mathijs Schuurmans, Panagiotis Patrinos
Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility. CDC (2020)
Fernando de la Hucha Arce, Panagiotis Patrinos, Marian Verhelst, Alexander Bertrand
On the Convexity of Bit Depth Allocation for Linear MMSE Estimation in Wireless Sensor Networks. IEEE Signal Process. Lett. 27 (2020)
Aleksandra Lekic, Ben Hermans, Nenad S. Jovicic, Panagiotis Patrinos
Microsecond nonlinear model predictive control for DC-DC converters. Int. J. Circuit Theory Appl. 48 (3) (2020)
Christian A. Hans, Pantelis Sopasakis, Jörg Raisch, Carsten Reincke-Collon, Panagiotis Patrinos
Risk-Averse Model Predictive Operation Control of Islanded Microgrids. IEEE Trans. Control. Syst. Technol. 28 (6) (2020)
Pantelis Sopasakis, Emil Fresk, Panagiotis Patrinos
OpEn: Code Generation for Embedded Nonconvex Optimization. CoRR (2020)
Mathijs Schuurmans, Alexander Katriniok, Hongtei Eric Tseng, Panagiotis Patrinos
Learning-Based Risk-Averse Model Predictive Control for Adaptive Cruise Control with Stochastic Driver Models. CoRR (2020)
Peter Coppens, Panagiotis Patrinos
Sample Complexity of Data-Driven Stochastic LQR with Multiplicative Uncertainty. CDC (2020)
Jasper Wouters, Panagiotis Patrinos, Fabian Kloosterman, Alexander Bertrand
Multi-Pattern Recognition Through Maximization of Signal-to-Peak-Interference Ratio With Application to Neural Spike Sorting. IEEE Trans. Signal Process. 68 (2020)
Andreas Themelis, Ben Hermans, Panagiotis Patrinos
A new envelope function for nonsmooth DC optimization. CDC (2020)
Peter Coppens, Panagiotis Patrinos
Sample Complexity of Data-Driven Stochastic LQR with Multiplicative Uncertainty. CoRR (2020)
Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints. CoRR (2020)
Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer
A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. EUSIPCO (2020)
Peter Coppens, Mathijs Schuurmans, Panagiotis Patrinos
Data-driven distributionally robust LQR with multiplicative noise. L4DC (2020)
Mathijs Schuurmans, Panagiotis Patrinos
Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility. CoRR (2020)
Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos
Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization. CoRR (2019)
Jeroen Verdyck, Wouter Lanneer, Paschalis Tsiaflakis, Werner Coomans, Panagiotis Patrinos, Marc Moonen
Optimal Dynamic Spectrum Management Algorithms for Multi-User Full-Duplex DSL. IEEE Access 7 (2019)
Peter Coppens, Mathijs Schuurmans, Panagiotis Patrinos
Data-driven distributionally robust LQR with multiplicative noise. CoRR (2019)
Puya Latafat, Nikolaos M. Freris, Panagiotis Patrinos
A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization. IEEE Trans. Autom. Control. 64 (10) (2019)
Ben Hermans, Andreas Themelis, Panagiotis Patrinos
QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs. CDC (2019)
Mathijs Schuurmans, Pantelis Sopasakis, Panagiotis Patrinos
Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach. CDC (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Panagiotis Patrinos